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Hasil Pencarian

Ditemukan 6 dokumen yang sesuai dengan query
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Turmudi
"Agriculture is the biggest economic sector in Indonesia, and uses about 95 % of developed land. To optimize agricultural sector in land, recommendation on the availability of technology, location, and specific commodity are required. Those recommendation depend on typology of region that characterized by physical and social economic environment and also social infrastructure as rich asset culture.
This study use landform approach and it is used as mapping unit. Landform data can support information regional potency and would be a database for Indonesian region planning as a whole. Making a good identification of regional potency, tent to reduce of error on plan of using land in the region. The aim of this study were: a). To know distribution pattern and area of land that suitable for agro industry commodity base on delineation of landform and administration; b) To develop spatial model developing of agro industry plantation by comparing between providing of land agro industry and characteristic of landform to achieve sustainable development. The problems that want to be answered is how distribution pattern of land suitability for agro industry commodity and how many land forms are suitable for agriculture.
Data and information are provided on geographic information system (GIS) with user interface is map on scale 1:100.000. Collecting data use observation, systematic and non direct method. Data's consist of primer and secondary. Analysis used ranking method, and qualitative properties. Parameter which used are spatial and non spatial or attribute. Those parameter consist of 11 (eleven) types, those are mean temperature, precipitation, length of dry month, drainage, texture, soil depth, pH, slope, erosion hazard, inundation, and outcrops. Technical of analysis is overlay (for spatial analysis) and joint item (for tabular analysis).
Analysis results showed that the suitable level in Sasamba area are class S2 (moderately suitable), class S3 (marginally suitable), and not suitable (N). Based on administration boundary (kecamatan), showed that the area that is recommended for development of agroindustry (area has more than 20.000 ha) are Kecamatan Samarinda Ilir (26.567 ha) , Samboja (65.576 ha), Loajanan (58.986 ha), Muarajawa (49.073 ha). Based on morphology, land suitability for development of agro industry appointed on plain (79,48 %) and hilly area (20,52 %). Based on morphogenesis, land suitability for development of agro industry located on Denudasional (59,53 %), Fluvial (22,05 %), Marine (12,60 %), Structural (5,82 %)."
2001
T9217
UI - Tesis Membership  Universitas Indonesia Library
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Hasan Basri Jumin
Jakarta: RajaGrafindo Persada, 2010
630 HAS d (1)
Buku Teks  Universitas Indonesia Library
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Supraptono Djajadirana
Jakarta : Grafindo Persada, 2000,
R 630.03 Dja k
Buku Referensi  Universitas Indonesia Library
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Pearson, Lorentz C.
New York : Reinhold Publishing Corporation, 1967
630 PEA p
Buku Teks  Universitas Indonesia Library
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Rivandi Pranandita Putra
"Sugar is one of Indonesia’s strategic commodities, but its production fluctuates over time and is still unable to comply with the national sugar demand. This condition may even get worst with climate change. Although climate-smart agriculture is a promising thing, it is basically a genuine concept for many farmers in Indonesia, including sugarcane growers. The paper briefly reviews and argues agronomic practices as a climate-smart agriculture approach adapted by sugarcane growers in Indonesia to increase its production under the changing climate. Some agronomic practices can be adopted by the Indonesian sugarcane growers as climate-smart agriculture, i.e., efficient irrigation, improved drainage of sugarcane plantations, the use of suitable sugarcane cultivars, green cane harvesting-trash blanketing, the amendment of soil organic matter, crop diversification, precision agriculture, and integrated pest management. From the Indonesian government’s side, research should be propped as there is limited information about the effectiveness of each aforementioned agronomic intervention to alleviating the adverse effect of climate change and to improving sugarcane growth. Practically, to ensure the success of climate-smart agriculture implementation in the Indonesian sugar industry, multistakeholders, i.e., sugarcane growers, researchers, civil society, and policymakers, should be involved, and the government needs to link these stakeholders."
Jakarta: Badan Penelitian dan Pengembangan Pertanian, 2021
630 JPPP 40:2 (2021)
Artikel Jurnal  Universitas Indonesia Library
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Puri Listiyani
"A number of studies have examined the relationship between the oil palm plantation area and the poverty alleviation. Most of this study are conducted based on local research and, mainly, do not involve econometrics analysis to find the relationship. Palm oil is one of commoditiesthat is widely produced in Indonesia that makes this country the world leader of palm oil producers. With the large amount of oil palm plantation area in Indonesia, then it may have an effect on economic growth,which may relieve the poverty.
Using panel data set of 33 province in Indonesia between 2006 and 2012, this paper tries to examine the effect of oil palm plantation on poverty alleviation in Indonesia.Moreover, this paper also aims to examine factors that may affect the expansion of oil palm plantation. In order to answer this objective, descriptive analysis is employed to discuss the determinant of oil palm expansion. Whereas, pooled OLS, fixed effect panel data model and random effect panel data model are employed in this paper, to asnwer the main objective.
The results shows that govenment intervention is more likely to influence the expansion of oil palm plantation. Meanwhile, demand for palm oil product may have impact on the expansion in Indonesia. Empirical findings show that oil palm plantation has negatively significant effect on the number of poor people. This means that increasing oil palm plantation area may reduce the poverty level in Indonesia. In addition, regional per capita income, education, access on electriciy and population size also have negative relationship with the poverty. Mostly, the result supports the empirical evidence that an increase of the variables may reduce the poverty level."
Depok: Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2014
T43974
UI - Tesis Membership  Universitas Indonesia Library